基于SINR的认知无线电自组网聚类协议

N. Dutta, H. Sarma, Ashish Kr. Srivastava, S. Verma
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引用次数: 5

摘要

提出了一种基于CRN的自组织网络中认知节点聚类的新方法。主要用户(pu)对并发认知用户(cu)产生的信噪比(SINR)以及cu之间的预期传输时间(ETT)被考虑在内,以形成集群。无论是在集群形成过程中,还是在数据传输过程中,cu的运行都不会影响PU正在进行的传输。本文的主要目的是寻找合适的簇形成方法,以便本工作的发现可以用于开发高效的基于簇的CRAHN路由协议。本文以200个cu的中等规模网络为实验对象,给出了影响参数的合理取值。
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A SINR Based Clustering Protocol for Cognitive Radio Ad Hoc Network (CRAHN)
A novel clustering approach for cognitive nodes in CRN based Ad Hoc Networks (CRAHNs) is proposed in this paper. The Signal to Interference plus Noise Ratio (SINR) produced by Primary Users (PUs) on collocated Cognitive Users (CUs) along with Expected Transmission Time (ETT) among CUs is taken into account in order to form the clusters. The operation of CUs, either during cluster formation or data transmission no way harms the ongoing transmission of PU. The main aim here is to find suitable method of cluster formation so that the findings of this work can be used for developing efficient cluster based routing protocol for CRAHN. A medium scale network with up to 200 CUs are taken for experiment and some reasonable values for influential parameters are presented here.
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